{"id":"W7100894824","doi":"","title":"Methodological Issues in Measuring Population Health Sample Design of the Canadian Health Measures Survey","year":2015,"lang":"en","type":"article","venue":"","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Respondent; Sample (material); Sampling design; Research design; Selection (genetic algorithm); Sample size determination; Data collection","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":true,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"methods","about_ca_system":false,"about_ca_topic":true,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3116993,0.00008528892,0.000351255,0.000143984,0.0004995725,0.00001867851,0.0002912372,0.0001428405,0.00004217041],"category_scores_gemma":[0.1564629,0.0000607478,0.00003839951,0.0006347431,0.0001857988,0.0000794989,0.00002295522,0.0001786799,0.000002562142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007241329,"about_ca_system_score_gemma":0.004649004,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9982913,"about_ca_topic_score_gemma":0.9992513,"domain_scores_codex":[0.7694841,0.2287561,0.0004236687,0.0002262861,0.0005049784,0.0006048471],"domain_scores_gemma":[0.9789513,0.02010646,0.0001652864,0.0001970459,0.0001631255,0.0004168006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004113109,0.00002094067,0.9810582,0.000002980287,0.000006144972,4.080877e-7,0.01120808,0.0005790437,0.000002527767,0.002257707,0.001241474,0.003211164],"study_design_scores_gemma":[0.0001280334,0.00005588257,0.9929034,0.00001113057,8.212675e-7,4.828649e-7,0.000808456,0.00002488082,0.00002891007,0.004152029,0.001820804,0.00006521702],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7112624,0.007065573,0.1487973,0.1225877,0.003076683,0.003959941,0.0001197844,0.0002356189,0.002894952],"genre_scores_gemma":[0.9531071,0.00007399779,0.04569414,0.0009260139,0.00003786645,0.000005974802,0.000007147509,0.000005773993,0.0001420087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2418447,"threshold_uncertainty_score":0.8506426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9003969642877699,"score_gpt":0.573065921070846,"score_spread":0.327331043216924,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}